Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
A new explainable deep learning framework for cyber threat discovery in industrial IoT networks
Industrial Internet of Things (IIoT) and Industry 4.0 empower interrelation among
manufacturing processes, industrial machines, and utility services. The time-critical data …
manufacturing processes, industrial machines, and utility services. The time-critical data …
An explainable and resilient intrusion detection system for industry 5.0
Industry 5.0 is a emerging transformative model that aims to develop a hyperconnected,
automated, and data-driven industrial ecosystem. This digital transformation will boost …
automated, and data-driven industrial ecosystem. This digital transformation will boost …
Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems
In the dynamic realm of customer-centric business models, organizations are increasingly
adopting advanced technologies and strategies to augment the capabilities of Customer …
adopting advanced technologies and strategies to augment the capabilities of Customer …
Soft prompt threats: Attacking safety alignment and unlearning in open-source llms through the embedding space
Current research in adversarial robustness of LLMs focuses on discrete input manipulations
in the natural language space, which can be directly transferred to closed-source models …
in the natural language space, which can be directly transferred to closed-source models …
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach
Over the past few decades, the topic of artificial intelligence (AI) has gained considerable
attention in both research and industry. In particular, the healthcare sector has witnessed a …
attention in both research and industry. In particular, the healthcare sector has witnessed a …
Categorizing affective response of customer with novel explainable clustering algorithm: The case study of Amazon reviews
Electronic word of mouth (e-WOM) influences consumer decision-making. Since consumers'
affective experiences for products are vast, research is needed to understand and …
affective experiences for products are vast, research is needed to understand and …
A holistic architecture for a sales enablement sensing-as-a-service model in the IoT environment
Sales enablement sensing-as-a-service (SESaaS) is an organisation's future process
management for any sales management operation. With an expanding base of dynamic …
management for any sales management operation. With an expanding base of dynamic …
Explainable Learning Machines for Securing the IoMT Networks
IA Khan, D Pi - The Internet of Medical Things (IoMT) and …, 2023 - igi-global.com
The necessity to improve modern medical networks such as internet of medical things (IoMT)
to monitor patients and their health condition has raised due to the effects of population …
to monitor patients and their health condition has raised due to the effects of population …
[HTML][HTML] Revolutionizing market surveillance: customer relationship management with machine learning
In the telecommunications industry, predicting customer churn is essential for retaining
clients and sustaining profitability. Traditional CRM systems often fall short due to their static …
clients and sustaining profitability. Traditional CRM systems often fall short due to their static …